Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 2160 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0479. Min Act: -0.0003

Data Index: 409232 (C4 (Web Text))

Max Activating Token Index: 81

Text #1

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Max Act: 0.0448. Min Act: -0.0003

Data Index: 609990 (C4 (Web Text))

Max Activating Token Index: 357

Text #2

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Max Act: 0.0442. Min Act: -0.0003

Data Index: 140137 (C4 (Web Text))

Max Activating Token Index: 574

Text #3

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Max Act: 0.0413. Min Act: -0.0003

Data Index: 39074 (C4 (Web Text))

Max Activating Token Index: 121

Text #4

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Max Act: 0.0405. Min Act: -0.0003

Data Index: 382133 (C4 (Web Text))

Max Activating Token Index: 265

Text #5

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Max Act: 0.0381. Min Act: -0.0003

Data Index: 312033 (C4 (Web Text))

Max Activating Token Index: 501

Text #6

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Max Activating Token Index: 390

Text #7

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Max Activating Token Index: 45

Text #8

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Max Activating Token Index: 122

Text #9

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Data Index: 1072236 (C4 (Web Text))

Max Activating Token Index: 293

Text #10

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Data Index: 103608 (C4 (Web Text))

Max Activating Token Index: 911

Text #11

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Data Index: 496010 (C4 (Web Text))

Max Activating Token Index: 77

Text #12

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Data Index: 67711 (C4 (Web Text))

Max Activating Token Index: 261

Text #13

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Data Index: 923053 (C4 (Web Text))

Max Activating Token Index: 288

Text #14

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Max Activating Token Index: 377

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 112

Text #18

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Data Index: 293107 (C4 (Web Text))

Max Activating Token Index: 336

Text #19

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Data Index: 605044 (C4 (Web Text))

Max Activating Token Index: 98